NVIDIA
Technology
SeniorDGXCloudAIInfrastructureSoftwareEngineer
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“Senior DGX Cloud AI Infrastructure Software Engineer at NVIDIA. Skills: AI Infrastructure, Distributed Systems, Software Engineering. Develop infrastructure software and tools for large-scale AI,. Develop and optimize tools to improve infrastructure efficiency”
What You'll Achieve.
Improve infrastructure efficiency; Improve infrastructure resiliency; Track and improve system reliability; Improve service reliability
Industry & Context.
Problem-solving; Root cause analysis; Optimization; Debugging; Failure analysis
What They're Looking For.
Must Have
8+ years of experience in developing software infrastructure for large scale AI systems, Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience), Debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level, Proven track record in building and scaling large-scale distributed systems, Experience with AI training and inferencing and data infrastructure services, Familiar in operating large-scale observability platforms for monitoring and logging (e. g. , ELK, Prometheus, Loki), Proficiency in programming languages such as Python, C/C++, script languages
Nice to Have
Experience in working with the large scale AI cluster, Understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL), Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray, Experience and root cause analysis of failures and datacenter scale, Background in software design and development
What You'll Do.
Develop infrastructure software and tools for large-scale AI
Develop and optimize tools to improve infrastructure efficiency
Root cause and analyze and triage failures from
Enhance infrastructure and products underpinning NVIDIA's AI platforms
Co-design and implement APIs for integration with NVIDIA's
Define meaningful and actionable reliability metrics to track
Full Job Description
Joining NVIDIA's DGX Cloud Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems. As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! **What you’ll be doing:** * Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure. * Develop and optimize tools to improve infrastructure efficiency and resiliency. * Root cause and analyze and triage failures from the application level to the hardware level * Enhance infrastructure and products underpinning NVIDIA's AI platforms. * Co-design and implement APIs for integration with NVIDIA's resiliency stacks. * Define meaningful and actionable reliability metrics to track and improve system and service reliability. * Skilled in problem-solving, root cause analysis, and optimization. **What we need to see:** * Mini
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